Automatic Speech Recognition
Transformers
Safetensors
Saisiyat
wav2vec2
formosanbank
formosan
endangered-languages
speech
asr
xlsr53
tacl
Instructions to use FormosanBank/formosan-asr-saisiyat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FormosanBank/formosan-asr-saisiyat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="FormosanBank/formosan-asr-saisiyat")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("FormosanBank/formosan-asr-saisiyat") model = AutoModelForCTC.from_pretrained("FormosanBank/formosan-asr-saisiyat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,420 Bytes
1579350 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
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"best_selection_metrics": {
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"micro_cer": 0.07790196078431373,
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"selection_cer": 0.09279681756460974,
"selection_metric": "decoded_dev_normalized_cer",
"selection_scope": "macro_cell",
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},
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"best_step": 14210,
"checkpoint_path": "/scratch/scheppat/projects/tacl_formosan_asr/runs_xlsr_final_v2/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13/best_model",
"end_train_loss": 0.033548079431056976,
"generated_at": "2026-06-23T08:17:48+00:00",
"max_steps": 1000,
"out_dir": "/scratch/scheppat/projects/tacl_formosan_asr/runs_xlsr_final_v2/xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"prediction_rows": 1189,
"run_id": "xlsr53_language_pooled_train-saisiyat_eval-saisiyat-all-corpora_dataset_v1_split_v2_formosan_safe_v1_seed13",
"start_train_loss": 21.27985954284668,
"steps": 35524,
"train_epochs": 30.0
}
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